An uncorrelated data sequence refers to a series of data points where there is no statistical relationship or dependency between them. In other words, the value of one data point does not provide any information about the value of another, indicating that their correlation coefficient is close to zero. This property is often important in statistical analysis and signal processing, as it suggests that the data points can be treated independently. Uncorrelated sequences are commonly used in various applications, such as random number generation and noise analysis.
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
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The median is the "middle" number in a set of data or a sequence. If you have the sequence 2,3,4,5,6 4 would be the median.
processing
The answer depends on where, in the sequence, the missing number is meant to go.Furthermore, whatever number you choose and wherever in the sequence it is meant to be, it is always possible to find a polynomial of degree 5 that will go through all five points given in the question and your chosen one.Using a polynomial of degree 4, the next number is -218.The answer depends on where, in the sequence, the missing number is meant to go.Furthermore, whatever number you choose and wherever in the sequence it is meant to be, it is always possible to find a polynomial of degree 5 that will go through all five points given in the question and your chosen one.Using a polynomial of degree 4, the next number is -218.The answer depends on where, in the sequence, the missing number is meant to go.Furthermore, whatever number you choose and wherever in the sequence it is meant to be, it is always possible to find a polynomial of degree 5 that will go through all five points given in the question and your chosen one.Using a polynomial of degree 4, the next number is -218.The answer depends on where, in the sequence, the missing number is meant to go.Furthermore, whatever number you choose and wherever in the sequence it is meant to be, it is always possible to find a polynomial of degree 5 that will go through all five points given in the question and your chosen one.Using a polynomial of degree 4, the next number is -218.
to convert raw data of correlated variables to data matrix of uncorrelated variables (Principal Component)
the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,
If I have two source of noise let as say two laser diodes so the pink noise that generate fro both of them is it correlated or uncorrelated
The purpose of a data flow diagram is to show you how the data flows through an information system. A sequence diagram shows you information regarding how the processes work together and in what order they operate.
algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing.
A discrete cosine transform (DCT) expresses a sequence of finitely many data points in terms of a sum of cosine functions oscillating at different frequencies
sequence control
It is the checking of data input to a system to ensure that it is what is meant to have been input.
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Yes. the conditional expectation of X given Y is simply the expectation of X if X and Y are uncorrelated. This is a consequence of one of the properties of conditional expectation.
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data that can read barcodes